qwen3:1.7b

qwen3 · 2.0B · Q4_K_M

THINKING MODEL

Microsoft WSL (AMD Ryzen 5 5500)

8 GB · Ubuntu 26.04.1 LTS

Tested on October 11, 2026

Top 44% Compare

Global Score

79 /100

Good

Hardware Fit

100/100

Quality

70/100

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Ollama

ollama pull qwen3:1.7b

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ollama.com/library/qwen3

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GGUF versions & quantizations

Hardware

Machine: Microsoft WSL
CPU: AMD Ryzen 5 5500
Cores: 12 threads (6 cores)
RAM: 8 GB
GPU: Integrated / Unknown
OS: Ubuntu 26.04.1 LTS
Arch: x64

Performance

Tokens/sec Tokens generated per second — higher is better: 188.0
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±2.2
First chunk latency Delay before the first streamed chunk arrives from runtime: 108 ms
Time to first token How fast the model starts responding — lower is better: 1.2 s
Load time Time to load the model into memory before inference: 7.5 s
Memory usage RAM consumed during inference — percentage of total system memory: 1.6 GB (21%)
Total tokens Total number of tokens generated across all benchmark prompts: 1429
Thinking tokens (est.) Estimated internal reasoning tokens — models with "thinking" generate more tokens: ~925

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

16/20

Coding

7/20

Instruction following

14/20

Structured output

15/15

Math

8/15

Multilingual

10/10

Category levels

Reasoning: Strong Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.34.0
Model format: GGUF
Hardware profile: ENTRY
Result hash: d2b2c78c10f80cc565aecd8a41ca4b92e0fe946c0d3872f14ecf01df1c6653a2

Interpretation

Hardware fit: 100/100. Overall suitability: GOOD (Global 79/100). Category profile: Reasoning: Strong, Coding: Weak, Instruction Following: Adequate, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

CPU load: avg 31% (peak 32%)

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